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Neural Network Recommendation Engine


Neural Network Recommendation Engine

By : user3848274
Date : October 26 2020, 11:51 AM
this will help I would suggest looking into neural networks using unsupervised learning such as self organising maps. It's very difficult to use normal supervised neural networks to do what you want unless you can classify the data very precisely for learning. self organising maps don't have this problem because the network learns the classification groups all on their own.
have a look at this paper which describes a music recommendation system for music http://www.springerlink.com/content/xhcyn5rj35cvncvf/
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What Artificial Neural Network or 'Biological' Neural Network library/software do you use?

What Artificial Neural Network or 'Biological' Neural Network library/software do you use?


By : TheTinMan
Date : March 29 2020, 07:55 AM
it fixes the issue There are a lot of different network simulators dependant on how detailed you want to do your sim, and what kind of network you want to simulate.
NEURON and GENESIS are good if you want to simulate full biological networks (Which I'm geussing you probably don't) even down to the behaviour of dendrites etc.
what input should be given while creating hyperbox for neural network?(Fuzzy Min Max Neural Network classification))

what input should be given while creating hyperbox for neural network?(Fuzzy Min Max Neural Network classification))


By : Sumedha Kodithuwakku
Date : March 29 2020, 07:55 AM
it fixes the issue PID data set is having 9 attributes. select 2 or more than 2 attributes and than apply your algorithm to create hyperbox.
Do I need a neural network or graph database like neo4j for suggestion engine?

Do I need a neural network or graph database like neo4j for suggestion engine?


By : user2131427
Date : March 29 2020, 07:55 AM
I hope this helps you . The easiest way to know which one to choose is to answer this more specific question. Is the data open world or closed world.
If you are an original Star Trek fan then think of it like how Spock would inference and needs all of the data before being able to answer (Closed world) or Captain Kirk who doesn't need all of the information before answering (Open World).
Recommendation for Best Neural Network Type (in TensorFLow or PyTorch) For Fitting Problems

Recommendation for Best Neural Network Type (in TensorFLow or PyTorch) For Fitting Problems


By : user3359645
Date : March 29 2020, 07:55 AM
To fix the issue you can do The type of problem you are talking about is called a regression problem. In such types of problems, you would have a single output neuron with a linear activation (or no activation). You would use MSE or MAE to train your network.
If your problem is time series(where you are using previous values to predict current/next value) then you could try doing multi-variate time series forecasting using LSTMs.
How do I train a neural-network for a recommendation system?

How do I train a neural-network for a recommendation system?


By : user3889171
Date : March 29 2020, 07:55 AM
To fix the issue you can do So it sounds like you don't want to use a neural network. I have found that neural networks are more difficult and take longer to train in these types of sparse feature spaces. You want to predict (I believe) books that a person might like given their ratings and the ratings of people who made similar purchases.
You should look at collaborative filtering. I am not saying that you can't solve the problem with neural networks but I am not sure that you want would really want to.
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